The impacts of socioeconomic status and lifestyle on health status of residents: Evidence from Chinese General Social Survey data

Sun, Jian; Lyu, Shoujun; Dai, Zheng

doi:10.1002/hpm.2760

Cited by 10 publications

(10 citation statements)

References 15 publications

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“…Rural Chinese mostly lived on farms. The urban–rural disparity in socioeconomic status has gradually narrowed since 1993 when China entered the market economy era [ 6 ]. However, economic development as well as its concomitant socioeconomic status and lifestyle factors varies greatly in the eastern, central, and western regions of China [ 7 ].…”

Section: Introductionmentioning

confidence: 99%

Trends in cancer mortality in China from 2004 to 2018: A nationwide longitudinal study

Jiang

Zhang

Liu

et al. 2021

Cancer Communications

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Background: The long-term trend in cancer death in a rapidly developing country provides information for cancer prophylaxis. Here, we aimed to identify the trends in cancer mortality in China during the 2004-2018 period.Methods: Using raw data from the national mortality surveillance system of China, we assessed the mortalities of all cancer and site-specific cancers during the 2004-2018 period. The participants were divided into three age groups: ≥65 years, 40-64 years, and ≤39 years. Changing trends in cancer death by gender, residency, and tumor location were estimated using fitting joinpoint models to log-transformed crude mortality rates (CMRs) and age-standardized mortality rates (ASMRs).Results: Cancer death accounted for 24% of all-cause of death in China during 2014-2018. The CMR of all cancer was 150.0 per 100,000 persons. Cancer was the leading cause of death in the population <65 years. The six major cancer types (lung/bronchus cancer, liver cancer, stomach cancer, esophagus cancer, colorectal cancer, and pancreas cancer) accounted for 75.85% of all cancer deaths. The CMR of all cancer increased while the ASMR decreased during 2014-2018 (P < 0.001). Lung/bronchus cancer and liver cancer were the leading causes of cancer death in the population <65 years, accounting for 45.31% (CMR) and 44.35% (ASMR) of all cancer death, respectively. The ASMR of liver cancer was higher in the 40-64 years population than in the ≥65 years population, in contrast to the other five major cancers. The ASMRs of liver cancer, stomach cancer, and esophagus cancer decreased although they were higher in rural residents than in urban residents; the ASMRs of lung/bronchus cancer, colorectal cancer, and

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Section: Introductionmentioning

confidence: 99%

Trends in cancer mortality in China from 2004 to 2018: A nationwide longitudinal study

Jiang

Zhang

Liu

et al. 2021

Cancer Communications

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“…The measurement error describes the observation errors on variables or data collection errors. The data is retrieved from the CGSS2013, a nationally representative dataset with a rigorous sampling procedure [44,53]. The probability of measurement error in this dataset is reasonably low.…”

Section: Instrumental Variable Methods For Endogeneitymentioning

confidence: 99%

“…In addition, we controlled for a set of covariates: household income, age, and education level. Previous studies have deemed the control variables significant health status predictors [51,53]. The multi-linear regression model can be represented as follows:…”

Section: Model Selectionmentioning

confidence: 99%

Exploring the Effects of Environmental Knowledge and Health Insurance Coverage on Physical and Mental Health: Evidence from a Nationally Representative Sample of Rural Women in China

Liu¹,

Ruiz-Menjivar²,

Carr³

et al. 2023

Preprint

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Rural women in developing nations are especially vulnerable to higher health risks due to environmental pollution exposure and are more likely to experience poorer health outcomes. Using data from the 2013 China General Social Survey CGSS2013, this study empirically examined the relationship among environmental knowledge (EK), pollution, health investment, and health status of women residing in rural regions in China. We employed a nationally representative sample of 1,930 female individuals for our analysis. Our results showed that the level of EK for women in rural China significantly impacted their self-reported physical and mental health. In order to account for potential endogeneity due to mutual causality, this study employed television usage and network usage as two instrument variables (IVs) of EK. We performed an IV-probit method to correct the estimated errors due to endogeneity. Additionally, to assess the reliability and robustness of our results, we re-estimated our model by replacing health status with the variable Body Mass Index (BMI). The results were consistent, providing evidence of robustness. Additionally, we examined the relationship between health investment (holding and purchasing a public health insurance policy, engaging in frequent physical activity, and acquiring commercial insurance) and health status. Our results indicate that the level of EK had no significant impact on participating in the new rural cooperative medical system. However, the preference of purchasing commercial insurance was positively impacted by EK, though it does not have a direct impact on the health condition. Conversely, an increase in EK and pollution is associated with a greater likelihood of engaging in physical exercise, which could, in turn, improve overall mental health.

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“…The measurement error describes the observation errors on variables or data collection errors. The data in our analysis was retrieved from the CGSS2013, a nationally representative dataset with a rigorous sampling procedure [49,57]. The probability of measurement error in this dataset is reasonably low.…”

Section: Instrumental Variable Methods For Endogeneitymentioning

confidence: 99%

“…In addition, we controlled for a set of covariates: household income, age, and education level. Previous studies have deemed the control variables significant health status predictors [56,57]. The multi-linear regression model can be represented as follows:…”

Section: Model Selectionmentioning

confidence: 99%

Examining the Effects of Environmental Knowledge and Health Insurance Coverage on Health Status

et al. 2023

View full text Add to dashboard Cite

Rural women in developing nations are especially vulnerable to higher health risks due to environmental pollution exposure and are more likely to experience poorer health outcomes. Using data from the 2013 China General Social Survey CGSS2013, this study empirically examined the relationship among environmental knowledge (EK), pollution, health investment (i.e., holding and purchasing a public health insurance policy, engaging in frequent physical activity, and acquiring commercial insurance), and health status. The sample was composed of 1930 women residing in rural regions in China. Three main research questions are investigated: whether environmental knowledge affects health investment and health status, whether health investments impact health status, and whether the relationship between environmental knowledge and health status is mediated by health investment. Our results showed that the level of EK for women in rural China significantly impacted their self-reported physical and mental health. To account for potential endogeneity due to mutual causality, this study employed television usage and network usage as two instrumental variables (IVs) of EK and used an IV-probit method. Additionally, we estimated a model that replaced health status with the variable Body Mass Index (BMI) to assess the reliability and robustness of our results. The results were consistent, providing evidence of robustness. Additionally, we examined the relationship between health investment (holding and purchasing a public health insurance policy, engaging in frequent physical activity, and acquiring commercial insurance) and health status. Our results indicated that the level of EK had no significant impact on participating in the new rural cooperative medical system. However, the preference for purchasing commercial insurance was positively impacted by EK, though it did not directly affect health status. Conversely, an increase in EK and pollution was associated with a greater likelihood of engaging in physical exercise, which, in turn, improved overall mental health.

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The impacts of socioeconomic status and lifestyle on health status of residents: Evidence from Chinese General Social Survey data

Cited by 10 publications

References 15 publications

Trends in cancer mortality in China from 2004 to 2018: A nationwide longitudinal study

Trends in cancer mortality in China from 2004 to 2018: A nationwide longitudinal study

Exploring the Effects of Environmental Knowledge and Health Insurance Coverage on Physical and Mental Health: Evidence from a Nationally Representative Sample of Rural Women in China

Examining the Effects of Environmental Knowledge and Health Insurance Coverage on Health Status

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